Python SDK Lazy Loading: 7.5x Faster Initialization, 80% Less Memory Use
Blog post from Speakeasy
Speakeasy has implemented a significant performance enhancement to its Python SDKs by introducing lazy loading, which defers the loading of modules until they are needed, rather than during the initial import. This change, achieved using Python's forward references and lazy loading techniques, results in dramatically improved performance with initialization times becoming 7.5 times faster and memory usage reduced by 80%. The update maintains full type safety and IDE autocomplete functionality, thus enhancing developer experience by reducing wait times during development, speeding up CI/CD test runs, and decreasing serverless cold start times, while also lowering infrastructure costs due to reduced memory usage. These improvements are automatically incorporated into all Python SDKs generated with Speakeasy CLI version v1.549.0 and above, marking the beginning of ongoing optimizations aimed at improving the developer experience.